Economics 472: Introduction to Econometrics


Professor Justin Tobias

Office: 367 Heady

Office Hours: Tues/ Thurs 10:00-12:00

e-mail: tobiasj@iastate.edu

 

Teaching Assistant: Chih-Chen Liu

Office: Curtiss B13

Office Hours: Monday/Wednesday 11:00-12:00

e-mail: chuhchen@iastate.edu


Announcements and Useful Files:

Problem Set #10 Solutions Posted
Final Exam: Wed, May 4, 7:30-9:30
Final Problem Set Due 5/4/05 (at final exam)
 
 

 


Course Outline:

Material Covered Before 1st Exam:

Stock and Watson: Chapters 1 and 2, 3.1, Chapter 4 (Sections 4.5 and 4.6 are excluded).

Useful (hopefully?) Powerpoint Files:

  1. Stock and Watson, Exercise 2.3 (Worked)
  2. Down's Syndrome Example

Examples Related to Sampling Distributions, Bias and Consistency:

  1. Example: Sampling Distributions of Sample Average
  2. Example: Law of Large Numbers and Central Limit Theorem
  3. A Tale of Two Estimators: Bias and Consistency

A Regression Primer

Regression Basics: Baseball Example

Material Covered Before 2nd Exam:

  1. Omitted Variables and Multiple Regression (Chapter 5)
    1. Population Mutiple Regression Function
    2. Estimation
    3. Hypothesis Testing (involving single and multiple coefficients
  2. Nonlinear Regression Functions (Chapter 6)
    1. Polynomials
    2. Logarithmic Transformations and interpretation of regression coefficients
    3. Interactions
  3. Assessing Regression Studies: Internal and External Validity (Chapter 7).

    REGRESSION EXAMPLE used to review for exam #2 (Pop Quiz Data)

Material Covered Before Final Exam:

    1. Panel Data (Chapter 8)
    2. Binary Choice Models (Chapter 9)
      1. Linear Probability Model
      2. Probit and Logit Models
    3. Mean Independence Violation: Endogeneity, Simultaneity (Chapter 10)
    4. Experiments and Quasi-Experiments (Chapter 11)

Data Sets

CALIFORNIA TEST SCORE DATA

BASEBALL DATA

UNEMPLOYMENT DATA

PRODUCTION FUNCTION DATA

WAGE DATA

PANEL BASEBALL DATA (Problem Set #8)

COLLEGE DATA (Problem Set #9)


Problem Sets and Solutions

Problem Set #1

 

Problem Set #2

 

Problem Set #3

Problem Set#4

 

Problem Set #5

 

Problem Set#6

 

Problem Set#7

 

Problem Set#10

 

  Final Problem Set

 

 

Solutions-PS#1 Solutions-PS#2 Solutions-PS#3
Solutions-PS#4 Solutions-PS#5

Solutions-PS#6, Part A

Solutions-PS#6, Part B

Solutions-PS#7

PS#7-Regression_Output

PS#8 Solutions

PS#8 - Regression Output

PS#9 Solutions

PS#9 - Regression Output

Solutions-PS#10